Enterprise Data Engineer

Trustmark National Bank; Ridgeland (MS); On-site; USD 105,000 - 145,000; Full time

Job summary

Trustmark National Bank in Ridgeland is seeking an Enterprise Data Engineer to design, evaluate, assemble, and test data infrastructures that meet business requirements.

You will build and scale data pipelines, develop NLP modules, and apply advanced data processing techniques. Strong collaboration and problem-solving are essential.

Experience with ETL platforms and data warehousing is required; a master's degree is preferred.

Qualifications

• Bachelor's degree in Data or Computer Science or equivalent certification.
• 4 years of experience with modern ETL platforms (Datastage, Informatica, Snowpipe, Azure, AWS).
• Strong knowledge of relational databases, data warehousing, and data modeling.
• Proficient in SQL and Python; able to work independently and in teams.
• Excellent communication and problem-solving abilities.
• Master's degree in data or CS preferred.

Responsibilities

• Builds and maintains complex data systems and infrastructures.
• Designs, develops, and tests data pipelines to ingest, process, and extract insights.
• Develops models for classification and information extraction from data.
• Performs data cleansing, normalization, hashing, and schema changes.
• Creates NLP software modules and collaborates with teams to meet business needs.
• Troubleshoots issues using advanced techniques and processes.
• Performs additional duties as assigned.

Skills

ETL platforms

SQL

Python

Data warehousing

Data modeling

Analytical thinking

Problem solving

Communication skills

Team collaboration

Advanced computing

Education

Bachelor's degree in Data or Computer Science

Master's degree preferred

Tools

IBM Datastage

Informatica

Snowpipe

Azure

AWS

Job description

Enterprise Data Engineer

Location: US-MS-Ridgeland | US-MS, AL, Houston, TX; Memphis, TN; Panhandle FL; Atlanta, GA

Type: Regular Full-Time

Working Hours: 8-5

Overview

The purpose of this position is to design, evaluate, assemble, and test data infrastructures to meet business requirements.

Responsibilities

• Builds and maintains complex systems and infrastructures that collect and process data according to company needs and goals.
• Builds, evolves, and scales out infrastructure to ingest, process and extract meaning from data.
• Designs, develops, and implements mathematical or statistical models to carry out various novel aspects of classification and information extraction from data.
• Leverages existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes. Analyzes data to spot anomalies, trends, and correlate similar data sets.
• Designs, develops, and implements natural language processing software modules.
• Uses advanced techniques, theories, and processes to troubleshoots problems, identifies possible solutions, and resolves accordingly.
• Associates are expected to perform all additional duties as assigned.

Qualifications

• Bachelor's degree in Data or Computer Science, or equivalent certification.
• 4 years of experience with modern ETL platforms, such as IBM Datastage, Informatica, Snowpipe, Azure, AWS, etc.
• Strong knowledge of relational databases, data warehousing and data modeling concepts
• Moderate to advanced proficiency in database languages such as SQL, Python, etc.
• Use of advanced techniques, theories, and processes to complete work
• Competency and capability to perform work independently, and in team environment
• Oral and written communication skills
• Advanced computer skills
• Technical expertise with data warehouse tools
• Analytical thinking skills
• Problem-solving skills
• Master's degree relevant to data or computer sciences or equivalent certification preferred.

Physical Requirements/Working Conditions: Must be able to sit for long periods of time and use computer keyboard and/or mouse, while viewing computer screens.

Disclaimer: Management retains the right to add, delete or modify the responsibilities and qualifications of the position at any time.